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Develop, train, and deploy AI/ML models and data pipelines to support well barrier analysis and engineering design. Collaborate with cross-functional teams to deliver production-ready AI solutions and maintain technical documentation.
Requires a Bachelor's degree in a STEM field and at least one year of experience in data science or software development. Proficiency in Python and machine learning frameworks is essential, with a preference for candidates with advanced degrees and experience in Generative AI.
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Halliburton Cementing is a global leader in well integrity, zonal isolation, and casing support solutions. From surface to Deepwater operations, our technologies ensure secure well construction, long-term stability, and environmental protection through precise slurry design, placement, and real-time downhole monitoring. By combining advanced modeling tools with decades of field expertise, Halliburton delivers cementing performance that defines industry standards for reliability and safety.
The AI/ML Engineer is an early-career member of a cross-functional product development team focused on building AI-driven solutions that support well barrier analysis, engineering design, and digital innovation. Working alongside data scientists, software engineers, automation specialists, and domain experts, this role contributes to the development, deployment, and continuous improvement of machine learning and generative AI applications.
This position provides an opportunity to gain hands-on experience across the AI development lifecycle, including data engineering, model development, validation, and deployment. The successful candidate will collaborate across disciplines, leverage modern AI tools and technologies, and progressively assume greater technical ownership while contributing to solutions that support Halliburton's global operations.
Candidates with qualifications exceeding the minimum requirements may be considered for the Senior AI/ML Engineer role based on experience, additional qualifications, and business needs.
At Halliburton, we’re committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs — now and in the future. When you join our team, you’ll gain access to a wide range of programs designed to help you thrive at work and at home.
Click here to review a summary of the benefits available once you join.
Machine Learning | Artificial Intelligence | Generative AI | Large Language Models (LLMs) | Python | Data Engineering | Data Modeling | Model Deployment | MLOps | AI-Assisted Development | Cloud Computing | Cross-Functional Collaboration | Continuous Learning | Problem Solving
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States
Job Details
Requisition Number: 210279
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Cementing
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
Founded in 1919, Halliburton is one of the world’s largest providers of products and services to the energy industry. With approximately 40,000 employees, representing 130 nationalities in more than 70 countries, the company helps its customers maximize value throughout the lifecycle of the reservoir – from locating hydrocarbons and managing geological data, to drilling and formation evaluation, well construction and completion, and optimizing production throughout the life of the asset.
Offices: 3000 N Sam Houston Pkwy E, Houston, Texas 77032, US
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